Reprint
Mathematical Methods in the Applied Sciences
Edited by
July 2024
316 pages
- ISBN978-3-7258-1467-1 (Hardback)
- ISBN978-3-7258-1468-8 (PDF)
This book is a reprint of the Special Issue Mathematical Methods in the Applied Sciences that was published in
Computer Science & Mathematics
Physical Sciences
Summary
This Special Issue of Axioms entitled "Mathematical Methods in Applied Sciences" includes 17 articles and an editorial. These articles explore a wide range of topics in applied mathematics, from pure mathematical methods to applied methods in various scientific fields. This Special Issue emphasizes several fields, such as mathematical methods and analysis, statistical methods, natural language processing, neural networks, numerical methods, and fuzzy systems. The objective of this Special Issue is to provide a platform for scholars to publish their recent work, delve deeper into various problems, and solve them mathematically.
Format
- Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
asymmetry accommodation; rates and proportions; single-parameter distribution; unit distribution; water monitoring; optimization; response surface method; surface roughness; machining parameters; human neural network; axons; dendrites; Λ-fractional derivative; dengue; Dominican Republic; climate variables; lags; generalized linear mixed models; dynamic Sylvester equation; linear noise; accelerated double integral ZNN; chaos control; image reconstruction; functional near infra-red spectroscopy; forward problem; inverse problem; numerical methods; missing or discarded data; guaranteed-coverage and expected-coverage tolerance limits; optimal sampling plans; unconditional and conditional tolerance limits; XLindley distribution; accelerated life tests; reliability analysis; Bayes inference; progressive Type-II censoring; fuzzy sets theory; fuzzy fractional derivative; caputo derivative; fuzzy boundary value problems; fuzzy fractional differential equations; optimal homotopy asymptotic method; integrated pest management (IPM); impulsive differential equations; stability; Floquet theory; perturbation method; numerical simulations; partial differential equations; partial derivatives; (2+1)-D Burgers’s equation; (3+1)-D Burgers’s equation; system of two-dimensional Burgers’s equation; corpus assessment approach; natural language processing (NLP); COVID-19; analytic hierarchy process (AHP); environmental science; discrete statistical model; dispersion index; hazard rate function; parameter estimation; simulation; regression; Bayesian estimation; EM algorithm; intuitionistic fuzzy lifetime data; inverse Weibull distribution; pharmacokinetic/pharmacodynamic model; optimal control theory; time-optimal control of the induction phase of anesthesia; shooting method; analytical method; numerical simulations; order statistics; L-moments; logistic distribution; generalized logistic distribution; Stefan problem; nonlinear thermal parameters; modified error function; lower- and upper-bound solutions; n/a